stochastic programming 中文意思是什麼
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Study on calculating the parameters of stochastic linear programming model based on raga
隨機線性規劃模型參數求解的基因方法 -
A stochastic chance - constrained programming model is put forward for incremental measures program of oilfield, which uses the most increasing output as objective and takes both cost and work quantity into account. at the same time, the process of its hy - brid intelligent algorithm is also provided
以油田措施增產最大化為目標，兼顧成本、措施量等目標，建立了油田措施配置的隨機機會約束規劃模型，並給出了模型的混合智能演算法。 -
Stochastic goal programming with fraction form in application of financial model
具有分數形式的隨機目標規劃在金融模型中的應用 -
In view of the fact that the genetic algorithm of stochastic programming based on random simulated technology has succeed greatly, this paper points out that changing parameters of genetic algorithm can obtain a sequence of optimum values of goal function. taking these genetic algorithm values as sampling data, we can get fitting optimum function by using multivariate spline regression and get the lipschitzs constant of the fitting optimum function. so for any chance constrained programming problem, we can get its interval estimate
鑒于基於隨機模擬技術的遺傳演算法在求解隨機規劃問題上的優越性，本文指出，改變遺傳演算法的參數條件，在此基礎上求得機會約束規劃的若干個最優值，以這些最優值為樣本點，利用多元樣條回歸，擬合得到最優值函數，進而求出最優值函數的lipschitzs常數，從而對于任一機會約束規劃問題，都可以得到它的一個區間估計。 -
His fundamental contributions to stochastic control include establishing a relation between maximum principle and dynamic programming via the viscosity solution theory, and introducing and developing the indefinite stochastic lq control theory
他應用粘性解理論建立了最大值原理與動態規劃之間的本質關系，並開創及發展了不定隨機lq控制理論。這些都是隨機控制論領域中的重大貢獻。 -
Study on the stochastic programming model of ocean shipping container slot allocation problem based on revenue management
基於收益管理的海運集裝箱艙位分配隨機規劃模型 -
Markov decision process, in short mdp, is also called sequential stochastic optimization stochastic optimum control. the controlled markov process or stochastic dynamic programming is the theory on stochastic sequential decision
馬爾可夫決策過程（ markovdecisionprocesses ，簡稱mdp ，又稱序貫隨機最優化、隨機最優控制、受控的馬爾可夫過程或隨機動態規劃）是研究隨機序貫決策的問題的理論。 -
Based on the modified house of quality, the chance - constrained programming model is developed to determine the optimal striving targets by stochastic simulation and genetic algorithm, and the 0 - 1 integer programming model is derived for the decision - making of reengineering objectives
基於改進的質量屋建立了機會約束規劃模型，通過隨機類比和遺傳演算法確定最佳奮斗目標；建立了0 - 1整數規劃模型，用於經營過程重構目標的決策。 -
Considering chance constrained programming is a well developed stochastic optimization method which can describe risk in an explicit manner, with the premised market trading protocols, a chance constrained programming based model for describing the optimal bidding strategies of distribution companies in a pool co - type transmission and distribution separated electricity market is presented, and solved by genetic algorithm
鑒于機會約束規劃作為一類快速發展的隨機優化方法能以顯式的形式刻畫風險，針對以聯營體為基礎的輸配分開電力市場，在假設的市場交易規則基礎上，構造了在現貸市場中基於機會約束規劃的供電公司最優報價策略模型，並採用遺傳演算法求解。 -
Multistage stochastic programming model for the portfolio problem of a property - liability insurance company
財產保險公司投資組合問題的多階段隨機規劃模型 -
Comparison of stochastic programming and linear programming application in animal feed formulation
隨機規劃與線性規劃在飼料配方中的應用比較 -
A genetic algorithm is used to solve this stochastic programming model
採用遺傳演算法對該隨機規劃模型進行求解。 -
At present there are two main methods to solving stochastic programming
隨機規劃的解法目前不外乎兩種有效的途徑。 -
One sort of stochastic programming in intervals for ensurence probabjlity of complex systems
復雜系統保障率的一類區間上的隨機規劃 -
The computational results imply that a genetic algorithm is effective to solve complicated stochastic programming models
同時證實了遺傳演算法能夠有效地解決復雜的隨機規劃模型。 -
A stochastic programming model of domestic commercial bank asset and liability management based on liquidity risk constraints
基於流動性風險約束的我國商業銀行資產負債隨機規劃模型 -
Thus, according to mechanics of dealing with stochastic phenomena in programming theory, multi - objective stochastic programming model is developed to dispose parameter uncertainty. as a heuristic monte carlo approach with powerful global searching, genetic algorithm based on stochastic programming is utilized
為了更好的處理實際生產中參數的不確定性，根據數學規劃論中處理隨機現象的機理，建立多目標隨機規劃模型，模型求解採用基於隨機規劃的遺傳演算法。 -
Since the development of the simplex method many people have contributed to the growth of linear programming by developing its mathematical theory, devising efficient computational methods and codes, exploring new applications, and by their use of linear programming as an aiding tool for solving more complex problems, for instance, discrete programs, nonlinear programs, combinatorial problems, stochastic programming problems, and problems of optimal control
由於單純形的發展，很多人致力於線性規劃的進步，通過發展它的數學理論、設計高效的計算方法和規則、探索新的應用，以及把線性規劃的使用作為解決更復雜問題的輔助工具，比如，離散規劃，非線性規劃，組合問題，隨機規劃問題和最優控制問題。 -
Traditional uncertain programming mainly contains stochastic programming and fuzzy programming, which have many applications in manufacture, economy and management etc. especially, the theory of stochastic or fuzzy linear programming is more complete, so it has more applications than stochastic or fuzzy nonlinear programming
傳統的不確定規劃主要分為兩大類：隨機規劃和模糊規劃，並且在生產、經濟及管理等諸多方面已有廣泛的應用，特別是隨機線性規劃和模糊線性規劃理論較為完善，應用更加廣泛。 -
This paper tries to study stochastic programming, especially chance constrained programming on the theory of probability and statistics
本文試圖利用概率統計有關理論作為工具，對隨機規劃特別是機會約束規劃進行研究。
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